package com.lowcodeai.ai.model.impl;

import com.lowcodeai.ai.model.ModelAdapter;
import com.lowcodeai.ai.model.request.ChatRequest;
import com.lowcodeai.ai.model.request.CompletionRequest;
import com.lowcodeai.ai.model.request.EmbeddingRequest;
import com.lowcodeai.ai.model.response.ChatResponse;
import com.lowcodeai.ai.model.response.CompletionResponse;
import com.lowcodeai.ai.model.response.EmbeddingResponse;
import com.lowcodeai.ai.model.ModelConfig;
import com.lowcodeai.ai.model.ModelUsage;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import org.springframework.web.client.RestTemplate;

import java.util.List;
import java.util.Map;

/**
 * OpenAI模型适配器实现
 * 
 * @author LowCodeAI
 * @since 1.0.0
 */
@Component
public class OpenAIModelAdapter implements ModelAdapter {

    @Value("${ai.openai.api-key}")
    private String apiKey;

    @Value("${ai.openai.base-url:https://api.openai.com/v1}")
    private String baseUrl;

    @Value("${ai.openai.model:gpt-4}")
    private String model;

    @Value("${ai.openai.temperature:0.7}")
    private Double temperature;

    @Value("${ai.openai.max-tokens:2000}")
    private Integer maxTokens;

    private final RestTemplate restTemplate = new RestTemplate();

    @Override
    public String getModelName() {
        return "openai-" + model;
    }

    @Override
    public ModelType getModelType() {
        return ModelType.OPENAI;
    }

    @Override
    public boolean isAvailable() {
        return apiKey != null && !apiKey.isEmpty();
    }

    @Override
    public ChatResponse chat(ChatRequest request) {
        try {
            // 构建OpenAI API请求
            Map<String, Object> requestBody = Map.of(
                "model", model,
                "messages", request.getMessages(),
                "temperature", temperature,
                "max_tokens", maxTokens
            );

            // 调用OpenAI API
            String url = baseUrl + "/chat/completions";
            // 这里需要实现具体的API调用逻辑
            
            return ChatResponse.builder()
                .content("OpenAI响应内容")
                .model(getModelName())
                .usage(new ModelUsage())
                .build();
        } catch (Exception e) {
            throw new RuntimeException("OpenAI API调用失败: " + e.getMessage(), e);
        }
    }

    @Override
    public CompletionResponse complete(CompletionRequest request) {
        try {
            // 构建OpenAI API请求
            Map<String, Object> requestBody = Map.of(
                "model", model,
                "prompt", request.getPrompt(),
                "temperature", temperature,
                "max_tokens", maxTokens
            );

            // 调用OpenAI API
            String url = baseUrl + "/completions";
            // 这里需要实现具体的API调用逻辑
            
            return CompletionResponse.builder()
                .text("OpenAI补全内容")
                .model(getModelName())
                .usage(new ModelUsage())
                .build();
        } catch (Exception e) {
            throw new RuntimeException("OpenAI API调用失败: " + e.getMessage(), e);
        }
    }

    @Override
    public EmbeddingResponse embed(EmbeddingRequest request) {
        try {
            // 构建OpenAI API请求
            Map<String, Object> requestBody = Map.of(
                "model", "text-embedding-ada-002",
                "input", request.getText()
            );

            // 调用OpenAI API
            String url = baseUrl + "/embeddings";
            // 这里需要实现具体的API调用逻辑
            
            return EmbeddingResponse.builder()
                .embeddings(List.of(new float[1536])) // OpenAI embedding维度
                .model("text-embedding-ada-002")
                .usage(new ModelUsage())
                .build();
        } catch (Exception e) {
            throw new RuntimeException("OpenAI API调用失败: " + e.getMessage(), e);
        }
    }

    @Override
    public ModelConfig getModelConfig() {
        return ModelConfig.builder()
            .modelName(getModelName())
            .modelType(getModelType())
            .baseUrl(baseUrl)
            .temperature(temperature)
            .maxTokens(maxTokens)
            .build();
    }

    @Override
    public ModelUsage getModelUsage() {
        return new ModelUsage();
    }
} 